Objective
The objective of this project is to develop a knowledge-based system for decision support in production scheduling and control. The system will provide a graphical user interface and it is intended to use KBL as a stand-alone or as a module to be integrated in existing or future CIM systems.
The objective of the project is to develop a knowledge based leitstand, (KBL) ie a knowledge based computer aided graphical decision support system for short term interactive and automatic production scheduling and control. The KBL uses information production orders, production facilities and process specifications to generate schedules and to control production. The design of KBL is based on large experience on leitstand systems and is a major attempt to harness modern software technologies with the aim of making a decisive step in improving production management effectiveness.
The novel features of the work are:
inclusion of a knowledge base and an intelligent advising system to optimize productivity;
integration of different scheduling algorithms and company specific constraints;
easy and dynamic configurability by end users;
inclusion of simulation and user definable evaluation;
inclusion of open interfaces to other systems.
These features permit rapid customization without long error prone traditional paper specification and implementation cycles during the customer introduction phase.
The novel features of the work are:
- inclusion of a knowledge base and an intelligent advisory system to optimise productivity
- integration of different scheduling algorithms and company-specific constraints
- configurability by SME user personnel
- inclusion of simulation and analysis support
-inclusion of open interfaces to other systems (SFDC, DNC, etc).
The benefits to SMEs will lie in the improvement of production efficiency and the reduction of costs by the better scheduling and management of resources and stocks.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence expert systems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Coordinator
82319 Starnberg
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.